Kategorie: AI Strategy

We are standing at an inflection point in the evolution of AI. The field is moving from hype to maturity. After a decade in which cheap capital and boundless optimism fueled sky-high expectations—when data was hailed as “the new oil”—the post-COVID era has brought a dose of sobriety. The age of “move fast and break things” is being replaces by a new mantra: move thoughtfully, build sustainably, and govern wisely. This picture was generated with ChatGPT.

In our latest video, Elizabeth Press speaks with Pier Martin, data leaders who’ve weathered Berlin’s decade of hype, hope, and hard lessons, about how organizations can turn data into real business value. Here’s what they shared.

This article is based on my talk with Varshith Anilkumar, engineering leader and AI researcher. The release of GPT-5, now integrated into tools like GitHub Copilot, marks a significant turning point for software development. LLMs such as Claude Code and GPT-5 can generate complex code. „Agentic“ tasks are pushing the industry toward a new paradigm where developers orchestrate multiple AI agents to build entire systems. This shift is changing the game from focus on writing code to designing and managing sophisticated, automated workflows. The image was generated by GPT-5.

24-25 June 2025 I had the opportunity to attend the German-American Trade and Tech Conference, organized by the Aspen Institute Germany. A new digital imperative crystallized through the conference discussions—the need to fundamentally rethink how we build and secure our digital future. In this blog, I outline the key forces at play and the strategic imperatives they demand.

🔮 Generative AI is going to change the world….🔮until you take some practicalities into account. We had a great time talking about the „Future of the Development and Deployment of AI,“ organized by D3M Labs and hosted by SPICED Academy with Elizabeth Press, M. Murat Ardag, Ph.D. and Samantha Edds. M. Murat Ardag, Ph.D, a Data Scientist and Political Psychologist, presented his study utilizing the Stack Overflow 2023 Annual Developer Survey.

In der heutigen dynamischen Umgebung beginnen sowohl Einzelpersonen als auch Unternehmen mit innovativen Experimenten mit KI-Anwendungen. Inmitten dieser Erkundung gibt es jedoch immer wieder Bedenken hinsichtlich der Sicherheit. Beim ersten „Brave Questions about AI & Information and Cyber Security Round Table # 1“ (Mutige Fragen zu KI & Informations- und Cybersicherheit) haben wir uns mit der aufkeimenden KI-Landschaft befasst, wobei ein Teilnehmer die Reise mit den Unwägbarkeiten des „Wilden Westens“ verglich.

In today’s dynamic environment, both individuals and organizations are embarking on innovative experiments with AI applications. However, amidst this exploration, concerns about security linger. In the first Brave Questions about AI & Information and Cyber Security Round Table # 1, we delved into the burgeoning AI landscape, where one participant likened the journey to the unpredictable nature of the „Wild West.“

🔒 Cybersicherheit ist ein Wettbewerbsvorteil. 🚀 In einer sich rasch entwickelnden KI-Landschaft drängen Unternehmen auf den Einsatz von KI als Mittel, um relevant zu bleiben. In diesem Blog wird das komplexe Terrain der Gewährleistung von Cyber- und Informationssicherheit bei KI-Einsätzen untersucht. Es gibt auch einen Link zu einem Video mit einem Gespräch zwischen
Elizabeth Press und Hannah Suarez, zwei Branchenexperten für gewinnbringende KI und Cybersicherheit, über „Unlocking Business Value Through Cyber and Information Security“ auf dem D3M Labs YouTube Channel.

🔒 Cybersecurity is a competitive advantage. 🚀 In a rapidly evolving AI landscape, companies are rushing to deploy AI as a means to stay relevant. This blog explores the complex terrain of ensuring Cyber & Information Security in AI deployments. There is also a link video to a conversation between
Elizabeth Press and Hannah Suarez, two industry experts in Profitable AI & Cybersecurity, about „Unlocking Business Value Through Cyber and Information Security“ on the D3M Labs YouTube Channel.

Large language models and generative AI are disrupting how data is done. I (Elizabeth Press from D3M Labs) spoke with Leonid Nekhymchuk (Leo), CEO and Co-Founder of Datuum.ai, about how large language models will transform data operations.  Datuum uses AI to connect data sources with target models, automate mapping, making data integration less time-consuming and less expensive.